datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ASearcher-Local-Knowledgelocalizationsampled-local-resumes
sampled-local-resumes
This dataset contains synthetic resume data sampled from local folders (20% sample from each folder).
License
This dataset is released under the Apache License 2.0. Please see the LICENSE and NOTICE files for details.
Attribution
Copyright 2025 Fairly AI Inc. dba Asenion
This dataset includes data released by Fairly AI Inc. dba Asenion under the Apache License, Version 2.0.
You may obtain a copy of the License at:… See the full description on the dataset page: https://huggingface.co/datasets/asenion-ai/sampled-local-resumes.aidovecl-vehicle-detection-classification-localization
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
We introduce an annotated AI-generated dataset of eye-level vehicle images using outpainting, offering versatile generation of diverse vehicle classes in varied contexts with pretrained models.
Citation Notice
Please ensure that all publications and presentations using this data reference the following paper:
Kazemi, A., Fatima, Q. ul A., Kindratenko, V., & Tessum, C. W.… See the full description on the dataset page: https://huggingface.co/datasets/amir-kazemi/aidovecl-vehicle-detection-classification-localization.robocasa_local_train_subset_21typed-decisions
Typed Decisions
A benchmark for typed probabilistic decisions over shared state. You give a
model one piece of unstructured state. It answers several typed questions about
that state at once, and every answer is a probability distribution rather than a
single label.
The schema follows the System One primitives used by
TypeSafe AI: noul, choice and score. A row replays against any API that implements that shape. This benchmark is
independent. It is not affiliated with TypeSafe… See the full description on the dataset page: https://huggingface.co/datasets/LocalLLaMA/typed-decisions.dp3_demo_smallterminal-bench-traces-localis25-local-distortionsmytown-local-gov-meetings
MyTown — open dataset of US & Canadian local-government meetings
The documents themselves, not just the metadata. Most civic datasets publish meeting
titles, dates and links. This one publishes 2,109,683 full text extractions of
the primary documents — the actual agendas and minutes, pulled out of the PDFs — alongside
11,949,495 per-member roll-call votes and 61,661,080 campaign-finance
transactions, all joinable on the same keys.
That combination is the point: you can go from… See the full description on the dataset page: https://huggingface.co/datasets/jazzypajamas/mytown-local-gov-meetings.local-model-explorer-data
Local Model Explorer Data
An anonymous record of what people try to run locally, gathered by Local Model Explorer: the hardware they plan for (GPU memory, number of cards, system or unified memory), the models and context lengths they look at, which GGUF quants they open and copy commands for, and the llama-bench results and reports they choose to share.
The question it answers: what hardware do local LLM users have, what do they try to run on it, and how fast does it actually… See the full description on the dataset page: https://huggingface.co/datasets/LocalLLaMA/local-model-explorer-data.imagenet-object-localizationke-local-ailca-bug-localization
🏟️ Long Code Arena (Bug localization)
This is the benchmark for the Bug localization task as part of the
🏟️ Long Code Arena benchmark.
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/lca-bug-localization.split-avelina-python-edummtrailer-pe-av-unimodal-local-embeddingssae-locality-data
SAE Locality Data
Raw experimental artefacts and summary figures for sparse-autoencoder
(SAE) feature-locality experiments across six base language models.
This README mirrors DATASET.md in the source repository
lccqqqqq/sae-analysis.
See that repository for the analysis pipelines that produce the
artefacts documented below.
This document describes the on-disk layout and per-file schemas for the
HuggingFace dataset lccqqqqq/sae-locality-data,
which mirrors the data/ tree… See the full description on the dataset page: https://huggingface.co/datasets/Lccqqqqq/sae-locality-data.swebench-localisation
Finding the file: localisation on SWE-bench Verified
Given a GitHub issue, which file do you have to change? This is the retrieval step every coding
agent performs before it writes a patch, and none of the leaderboards score it separately. SWE-bench's five
leaderboards all score % Resolved, which folds localisation and patch-writing into one
number.
This bundle is that step measured on its own, on all 500 instances of SWE-bench Verified, with a
floor. The write-up is
Finding… See the full description on the dataset page: https://huggingface.co/datasets/RiverRider/swebench-localisation.azerbaijani_asr
Azerbaijani ASR Dataset
Dataset Description
This dataset contains Azerbaijani speech data for Automatic Speech Recognition (ASR) tasks.
Dataset Summary
Language: Azerbaijani (az)
Task: Automatic Speech Recognition
Total Duration: ~328 hours
Total Samples: ~345,643 audio-text pairs
Audio Format: WAV, 16kHz sampling rate
License: CC-BY-4.0
Dataset Structure
Each audio segment is specially numbered so that you can merge them if you… See the full description on the dataset page: https://huggingface.co/datasets/LocalDoc/azerbaijani_asr.yt-pe-av-unimodal-local-embeddingsadamanip_manipulationsplit-finemathclimbmix-40b-az
ClimbMix 40B — Azerbaijani
A large-scale Azerbaijani text dataset created by translating the English karpathy/climbmix-400b-shuffle dataset into Azerbaijani using Google Translate.
Dataset Summary
This dataset contains approximately 40 billion tokens of Azerbaijani text, making it one of the largest publicly available Azerbaijani language corpora. It is intended for pretraining and fine-tuning large language models (LLMs) for the Azerbaijani language.
Property
Value… See the full description on the dataset page: https://huggingface.co/datasets/LocalDoc/climbmix-40b-az.local-workspace
local-workspace — consolidated oracle-lens artifacts
Everything the oracle-lens (OLA) program published, in one repo. Consolidated 2026-08-06 from
three repos (oracle-lens-data, oracle-lens-ar-checkpoints, oracle-lens-ao-checkpoints)
by scripts/ola/migrate_hf_workspace.py in the global-workspace repo, which also holds the
exact old->new path map and a --verify audit mode.
Layout
data/ # training/eval data (was oracle-lens-data)… See the full description on the dataset page: https://huggingface.co/datasets/agu18dec/local-workspace.localizer
Dartbrains Localizer Dataset
A subset of the Brainomics/Localizer functional MRI dataset, prepared for the Dartbrains neuroimaging course at Dartmouth College.
Quick Start
Load beta maps (recommended for most exercises)
from datasets import load_dataset
ds = load_dataset("dartbrains/localizer", "betas")
img = ds[0]["nifti"] # nibabel.Nifti1Image
subject = ds[0]["subject"] # "S01"
condition = ds[0]["condition"] # "audio_computation"… See the full description on the dataset page: https://huggingface.co/datasets/dartbrains/localizer.locale-benchmark-sra500
Locale Embedding Benchmark : SRA 500
What
This benchmark contains embeddings of raw genomic read sequences produced by the LOCALE DNA transformer model to test the use of vector search over large sequence repositories like the NIH Sequence Read Archive. The benchmark contains the embeddings of 163,578,486 sequence embeddings coming from 500 SRA Accessions. All vectors are Float32, D=768, roughly 500GB of total data.
Given a read, we want to find accessions… See the full description on the dataset page: https://huggingface.co/datasets/rsynk/locale-benchmark-sra500.local-wdl
Local WDL
Value-only chess dataset. Each row is a unique board labeled with official
Stockfish 19 UCI_ShowWDL. Use wdl as the value target. Do not treat this
as MultiPV policy data.
22,305,000 rows on this repo (append-only waves). Source id 4. Compact move vocab (1968).
Shards keep a global index: wave 1 is data/shard_000000–000199. Later waves continue.
This is SF19's fishtest-LTC self-play WDL model (eval + remaining material).
It is not FIDE/Lichess Elo and not a sigmoid of… See the full description on the dataset page: https://huggingface.co/datasets/avewright/local-wdl.amir-code-localization-datacleangov-local-settlements
지방재정365 결산 통계 Open API (세입·세출결산, 재무제표, 지방세, 지역통합재정통계, 공공시설·청사·채무)
지방재정365 재정데이터개방 허브의 "결산" 분류 33 서비스. 세출결산(기능별·성질별·회계별·구조별 단체별), 세입결산(재원별·성질별), 기금결산, 교육비특별회계 결산, 투자적경비 순계, 재무제표(재정상태표·통합재정운영표·순자산변동표·복식부기 수익·비용·자산·부채), 지방세(징수율·세목별 비중·세수신장률·체납 누계), 지역통합재정통계 (세입·세출·자산·부채·인건비·업무추진비·행사경비 비율), 공공시설운영현황, 청사면적, 채무현황. 자치단체 재정의 결산 기준 정본이며 FISCAL-LOC-002(세부사업별 세출 XLSX) 보다 집계 수준이 높고 분류 축이 다양하다. 비교군·기관 개요 화면의 결산 수치를 여기서 낸다.
출처: https://www.lofin365.go.kr/portal/LF5100000.do
이용 조건: 허브 명세 이용조건… See the full description on the dataset page: https://huggingface.co/datasets/eddmpython/cleangov-local-settlements.eval_robustness_e9_3_full_dp_local_180k_fThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "koch",
"total_episodes": 175,
"total_frames": 73950,
"total_tasks": 1,
"total_videos": 350,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:175"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nduque/eval_robustness_e9_3_full_dp_local_180k_f.